English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The current mine personal positioning is not precise. An improved RSSI is present in this paper to improve the precise of mine personal positioning. The personal positioning system will be completed with trilateral localization algorithm and differential correction algorithm finally. Introduction The paper will propose the improvement of RSSI algorithm for mine personal positioning system. With the improved RSSI algorithm the more precise distance of between target node and reference node could be gained. Then take quadrilateral localization algorithm based on trilateral localization algorithm to compute the location of target node. At last, differential correction algorithm will be used in the paper to increase the precise of target node location and complete the positioning system. INTRODUCTION of RSSI RSSI(Received Signal Strength Indication) is a simple and practical range-finding algorithm. The power of the wireless signal will loss during transmission and the RSSI bases on the loss of signal power. The distance of receiver and sender will be computed by the loss of power. However the algorithm must combine theoretical model of path consumption and empirical model to compute the distance between target node and reference node. The relation expression of signal power consumption between receiver and sender is as follows: n d d P P / 0 = (1.1) Pd is the signal strength of the receiver. P0 is the signal strength of the sender. The d is the distance of receiver and sender. The n is propagation factor. The relation expression 1.2 could be derived by 1.1 with logarithm. d P P d n / lg 10 lg 10 0 = (1.2) As the sending power of node is known, 1.3 could be derived by 1.2 d n A d P lg 10 lg 10 − = (1.3) 10 lg pd is the receiver power and its unit is dBm. If the value of d equals 1 the value of A could be computed. d n A dBm Pd lg 10 ) ( − = (1.4) There is a relation expression between A and n. A and n is empirical value in different environment. We should confirm the value of A and n in different environment. The accuracy of distance depends on A and n seriously. We call A and n the value of RSSI. RSSI-BASED DV-DISTANCE ALGORITHM RSSI-based DV-distance evolves from DV-hop. There are two steps in the RSSI-based DV-distance algorithm. First, the target node receives every signal sent by the reference nodes in the range and computes the beeline distance through RSSI. Then the target node will send the beeline distance and fold line distance to the reference nodes. The target node will compute the fold line distance through distance vector protocol and the ratio of beeline distance to fold line distance. The average value of ratio should be computed after the target node got all ratios. Then the target node will send the average radio to all reference nodes. As the reference nodes have got the fold line distance, the beeline distance could be computed through the average ratio. At last, all the International Conference on Intelligent Systems Research and Mechatronics Engineering (ISRME 2015) © 2015. The authors Published by Atlantis Press 1220 reference nodes send beeline distance to the target nodes. The DV-distance improves the detection accuracy of straight line distance greatly than DV-hop. However the DV-distance relies on the environment highly and the DV-distance algorithm is not reliable. We could take some measure to improve the reliable of DV-distance. First the position of reference point is very important. The reference points should not be put in a line. As the theory of the DV-distance pointed, the target node gets the straight line through the average ratio. When the reference points stay in a line the ratio will be not reliable. In a word, the fold line distance should be as far as possible. The DV-Distance algorithm relies on RSSI and RSSI will make a huge difference in different environment. This paper proposes an intelligent correction for the value of A and n. The procedure is as follows: Figure1. The procedure of intelligent correction Trilateral localization Algorithm Trilateral localization algorithm is a simple positioning algorithm. The paper proposes quadrilateral localization algorithm based on trilateral localization to increase the precise of the target node location. Figure2. Trilateral localization There are three reference points in the map Figure2.The coordinate of A ) , ( A A y x ) , ( A A y x A , ) , ( B B y x B ,C ) , ( C C y x have been given. After computed the value of RSSI we can get the length of AD( A d ),BD( B d ),CD( C d ) through the DV-Distance. Then we can get the relation expression: 2 2 2 ) ( ) ( A D A D A d y y x x = − + − (2.1) 2 2 2 ) ( ) ( B D B D B d y y x x = − + − (2.2) 2 2 2 ) ( ) ( C D C D C d y y x x = − + − (2.3) Obviously, the D (xD , yD ) could be calculated from the relation expression.

The Improvement of RSSI for Mine Personnel Positioning